#6 Sprocket (20-6)

avg: 1924.96  •  sd: 56.13  •  top 16/20: 99.4%

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# Opponent Result Game Rating Status Date Event
14 Rally Loss 11-15 1452.58 Jun 24th FROGS
38 Pittsburgh Port Authority Win 15-7 2101.11 Jun 24th FROGS
12 'Shine Win 15-13 2065.26 Jun 24th FROGS
50 Jughandle Win 15-11 1774.61 Jun 24th FROGS
7 XIST Loss 9-15 1405.38 Jun 25th FROGS
3 AMP Win 12-9 2413.22 Jul 15th TCT Pro Elite Challenge East 2023
30 Waterloo Win 11-10 1740.31 Jul 15th TCT Pro Elite Challenge East 2023
50 Jughandle Win 12-7 1913.96 Jul 15th TCT Pro Elite Challenge East 2023
12 'Shine Loss 10-15 1397.48 Jul 16th TCT Pro Elite Challenge East 2023
43 Dirty Bird Win 15-9 1993.8 Aug 19th TCT Elite Select Challenge 2023
1 shame. Loss 10-15 1713.61 Aug 19th TCT Elite Select Challenge 2023
17 Lawless Win 15-13 1977.36 Aug 19th TCT Elite Select Challenge 2023
1 shame. Loss 10-15 1713.61 Aug 20th TCT Elite Select Challenge 2023
16 Hybrid Win 15-8 2388.66 Aug 20th TCT Elite Select Challenge 2023
15 Mischief Win 15-10 2284.48 Aug 20th TCT Elite Select Challenge 2023
95 Scarecrow** Win 15-6 1668.5 Ignored Sep 9th 2023 Mixed East New England Sectional Championship
223 Electric Eyebrows** Win 13-2 938.47 Ignored Sep 9th 2023 Mixed East New England Sectional Championship
111 Lampshade** Win 13-5 1605.42 Ignored Sep 9th 2023 Mixed East New England Sectional Championship
44 The Buoy Association Win 15-6 2074.01 Sep 9th 2023 Mixed East New England Sectional Championship
45 Wild Card Win 15-8 2022.34 Sep 10th 2023 Mixed East New England Sectional Championship
71 Grand Army** Win 13-5 1804.31 Ignored Sep 23rd 2023 Northeast Mixed Regional Championship
44 The Buoy Association Win 12-10 1712.14 Sep 23rd 2023 Northeast Mixed Regional Championship
40 UNION Win 14-10 1890.56 Sep 23rd 2023 Northeast Mixed Regional Championship
55 Garbage Plates Win 14-7 1925.15 Sep 23rd 2023 Northeast Mixed Regional Championship
13 Slow Loss 11-12 1724.58 Sep 24th 2023 Northeast Mixed Regional Championship
7 XIST Win 15-11 2302.03 Sep 24th 2023 Northeast Mixed Regional Championship
**Blowout Eligible

FAQ

The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)